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High-efficiency swarm intelligent maximum power point tracking control techniques for varying temperature and irradiance

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  • Mirza, Adeel Feroz
  • Mansoor, Majad
  • Zhan, Keyu
  • Ling, Qiang

Abstract

PV systems may suffer significant power loss caused by irregular irradiance patterns and changing temperatures. Moreover, partial shading (PS) is a major defect for existing maximum power point tracking (MPPT) controllers. This paper proposes efficient and robust MPPT controllers using novel Slime mould optimization (SMO) and improved salp swarm optimization algorithm (ISSA) to track GMPP for different PV array configurations. ISSA takes opposition based learning (OBL) and local search algorithm (LSA) to perform maximum exploration of the search space. Due to LSA, the oscillation of ISSA can be reduced to zero. Moreover, a novel SMO MPPT technique is introduced for MPPT tracking of PV systems under various weather conditions. The results of the proposed controllers are compared with those of well-known perturb and observe (P&O), particle swarm optimization (PSO), SSA, and cuckoo search optimization algorithm (CSA) MPPT techniques. Six distinct cases of varying temperature, field atmospheric data study, uniform irradiance, PS, and complex-PS are studied. Results and their analysis confirm that the proposed controllers have the highest transient and steady-state efficiency of up to 99.9% with the least tracking time of up to 130 ms while keeping the oscillation in the steady-state well below 1–2W.

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  • Mirza, Adeel Feroz & Mansoor, Majad & Zhan, Keyu & Ling, Qiang, 2021. "High-efficiency swarm intelligent maximum power point tracking control techniques for varying temperature and irradiance," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221008513
    DOI: 10.1016/j.energy.2021.120602
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    1. Sai Krishna, G. & Moger, Tukaram, 2019. "Improved SuDoKu reconfiguration technique for total-cross-tied PV array to enhance maximum power under partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 333-348.
    2. Zhang, Yuhu & Ren, Jing & Pu, Yanru & Wang, Peng, 2020. "Solar energy potential assessment: A framework to integrate geographic, technological, and economic indices for a potential analysis," Renewable Energy, Elsevier, vol. 149(C), pages 577-586.
    3. Martinopoulos, Georgios, 2020. "Are rooftop photovoltaic systems a sustainable solution for Europe? A life cycle impact assessment and cost analysis," Applied Energy, Elsevier, vol. 257(C).
    4. Zhang, Xiaoshun & Li, Shengnan & He, Tingyi & Yang, Bo & Yu, Tao & Li, Haofei & Jiang, Lin & Sun, Liming, 2019. "Memetic reinforcement learning based maximum power point tracking design for PV systems under partial shading condition," Energy, Elsevier, vol. 174(C), pages 1079-1090.
    5. Li, Zhaomeng & Ji, Jie & Yuan, Weiqi & Song, Zhiying & Ren, Xiao & Uddin, Md Muin & Luo, Kun & Zhao, Xudong, 2020. "Experimental and numerical investigations on the performance of a G-PV/T system comparing with A-PV/T system," Energy, Elsevier, vol. 194(C).
    6. Vezin, T. & Meunier, S. & Quéval, L. & Cherni, J.A. & Vido, L. & Darga, A. & Dessante, P. & Kitanidis, P.K. & Marchand, C., 2020. "Borehole water level model for photovoltaic water pumping systems," Applied Energy, Elsevier, vol. 258(C).
    7. Dhimish, Mahmoud & Badran, Ghadeer, 2020. "Current limiter circuit to avoid photovoltaic mismatch conditions including hot-spots and shading," Renewable Energy, Elsevier, vol. 145(C), pages 2201-2216.
    8. Efrain Mendez & Alexandro Ortiz & Pedro Ponce & Israel Macias & David Balderas & Arturo Molina, 2020. "Improved MPPT Algorithm for Photovoltaic Systems Based on the Earthquake Optimization Algorithm," Energies, MDPI, vol. 13(12), pages 1-24, June.
    9. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Mohammed, Mohd Fayzul & Ramli, Makbul A.M., 2020. "Feasibility analysis of grid-connected and islanded operation of a solar PV microgrid system: A case study of Iraq," Energy, Elsevier, vol. 191(C).
    10. Ahmad, Riaz & Murtaza, Ali F. & Sher, Hadeed Ahmed, 2019. "Power tracking techniques for efficient operation of photovoltaic array in solar applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 82-102.
    11. Refaat, Ahmed & Osman, Mohamed Hassan & Korovkin, Nikolay V., 2020. "Current collector optimizer topology to extract maximum power from non-uniform aged PV array," Energy, Elsevier, vol. 195(C).
    12. Ravyts, Simon & Vecchia, Mauricio Dalla & Van den Broeck, Giel & Yordanov, Georgi H. & Gonçalves, Juliana Emanuella & Moschner, Jens D. & Saelens, Dirk & Driesen, Johan, 2020. "Embedded BIPV module-level DC/DC converters: Classification of optimal ratings," Renewable Energy, Elsevier, vol. 146(C), pages 880-889.
    13. Fathabadi, Hassan, 2020. "Novel stand-alone, completely autonomous and renewable energy based charging station for charging plug-in hybrid electric vehicles (PHEVs)," Applied Energy, Elsevier, vol. 260(C).
    14. Teo, J.C. & Tan, Rodney H.G. & Mok, V.H. & Ramachandaramurthy, Vigna K. & Tan, ChiaKwang, 2020. "Impact of bypass diode forward voltage on maximum power of a photovoltaic system under partial shading conditions," Energy, Elsevier, vol. 191(C).
    15. Lappalainen, Kari & Valkealahti, Seppo, 2020. "Number of maximum power points in photovoltaic arrays during partial shading events by clouds," Renewable Energy, Elsevier, vol. 152(C), pages 812-822.
    16. Ahmed, Jubaer & Salam, Zainal, 2014. "A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability," Applied Energy, Elsevier, vol. 119(C), pages 118-130.
    17. Agathokleous, Rafaela A. & Kalogirou, Soteris A., 2020. "Status, barriers and perspectives of building integrated photovoltaic systems," Energy, Elsevier, vol. 191(C).
    18. Humada, Ali M. & Hojabri, Mojgan & Mekhilef, Saad & Hamada, Hussein M., 2016. "Solar cell parameters extraction based on single and double-diode models: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 494-509.
    19. Adeel Feroz Mirza & Majad Mansoor & Qiang Ling & Muhammad Imran Khan & Omar M. Aldossary, 2020. "Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller," Energies, MDPI, vol. 13(16), pages 1-25, August.
    20. Pal, Rudra Sankar & Mukherjee, V., 2020. "Metaheuristic based comparative MPPT methods for photovoltaic technology under partial shading condition," Energy, Elsevier, vol. 212(C).
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